A novel network traffic combination prediction model

Z Tian, P Song - International Journal of Communication …, 2022 - Wiley Online Library
Network has become an indispensable part of public life. To improve network utilization,
network performance, network quality, and enhance network security, precise prediction of …

Network traffic prediction method based on wavelet transform and multiple models fusion

Z Tian - International Journal of Communication Systems, 2020 - Wiley Online Library
Accurate prediction of network traffic is an important premise in network management and
congestion control. In order to improve the prediction accuracy of network traffic, a prediction …

[HTML][HTML] Deep learning based network traffic matrix prediction

D Aloraifan, I Ahmad, E Alrashed - International Journal of Intelligent …, 2021 - Elsevier
Network traffic matrix prediction is a methodology of predicting network traffic behavior
ahead of time in order to improve network management and planning. Different neural …

[PDF][PDF] Parameters of network traffic prediction model jointly optimized by genetic algorithm

WJ Lu - Journal of Networks, 2014 - Citeseer
In order to improve the performance of network traffic prediction model, a novel network
traffic prediction model is proposed in this paper which embedding dimension and time …

Network traffic prediction model based on ensemble empirical mode decomposition and multiple models

L Lian, Z Tian - International Journal of Communication …, 2021 - Wiley Online Library
In order to improve the prediction accuracy of network traffic, a novel prediction model based
on ensemble empirical mode decomposition and multiple models is proposed. In this study …

A novel network traffic prediction method based on a Bayesian network model for establishing the relationship between traffic and population

K Shiomoto, T Otoshi, M Murata - Annals of Telecommunications, 2023 - Springer
Existing traffic prediction methods are based on previously collected traffic patterns, and the
measured data are used to train and create a model to predict future traffic patterns …

[PDF][PDF] A comprehensive review on hybrid network traffic prediction model

J Shi, YB Leau, K Li, JH Obit - International Journal of …, 2021 - pdfs.semanticscholar.org
Network traffic is a typical nonlinear time series. As such, traditional linear and nonlinear
models are inadequate to describe the multi-scale characteristics of traffic, thus …

A novel hybrid prediction algorithm to network traffic

D Jiang, Z Xu, H Xu - annals of telecommunications-annales des …, 2015 - Springer
Network traffic describes the characteristics and users' behaviors of communication
networks. It is a crucial input parameter of network management and network traffic …

Long-term span traffic prediction model based on STL decomposition and LSTM

Y Huo, Y Yan, D Du, Z Wang, Y Zhang… - 2019 20th Asia-Pacific …, 2019 - ieeexplore.ieee.org
With the increasing complexity of the network, the current network traffic has strong
nonlinearity and burstiness. Therefore, the traditional traffic prediction model is no longer …

Network traffic prediction method based on improved ABC algorithm optimized EM-ELM

田中大, 李树江, 王艳红, 王向东 - 中国邮电高校学报(英文), 2018 - jcupt.bupt.edu.cn
In order to overcome the poor generalization ability and low accuracy of traditional network
traffic prediction methods, a prediction method based on improved artificial bee colony …